Wen-Yan Lin

Computer Vision and Pattern Recognition · 2013–2017

A researcher in the Science corpus: 3 papers; trusts 319 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Wen-Yan Lin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Ross B. Girshick
  2. Kaiming He
  3. David G. Lowe
  4. Karen Simonyan
  5. Andrew Zisserman
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Yoshua Bengio
  10. Diederik P. Kingma

Who trusts Wen-Yan Lin overall

  1. Ming-Ming Cheng
  2. Guanbin Li
  3. Jiayi Ma
  4. Xingyu Jiang
  5. Jordi Pont-Tuset
  6. Houwen Peng
  7. Bin Xu
  8. Lluís Gómez
  9. Yuen Peng Loh

Papers from Wen-Yan Lin's perspective

Ordered by how strongly the researchers Wen-Yan Lin trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers